Commerce stack

Connect product data, storefront and measurement data with the same search layer.

Use a platform route or integrate API-first. The most important question is not only which commerce platform you use, but also how product data, updates, search interaction and conversion data run throughout the chain.

Platform routes

Select the route closest to your current stack.

Final implementation also depends on storefront, product data flow, events and possible custom logic.

WooCommerce

For WordPress/WooCommerce shops with product catalog, storefront and tracking as a coherent integration.

WooCommerce →

Shopify

Integrate catalog, storefront behavior and search events within a Shopify context.

Shopify →

Magento

For Magento environments with extensive catalogs, attributes and custom processes.

Magento →

Adobe Commerce

For commerce implementations where catalog complexity, teams and governance outweigh.

Adobe Commerce →

Shopware

Link product data and storefront interaction in a Shopware implementation.

Shopware →

CCV Shop

Use a CCV Shop route for catalog, frontend search and conversion measurement.

CCV Shop →

Lightspeed

Connect assortment and search experience to a Lightspeed online store.

Lightspeed →

PrestaShop

Integrate search functionality with the existing PrestaShop catalog and storefront.

PrestaShop →

BigCommerce

Use a commerce platform route or combine it with API-first parts.

BigCommerce →

Commercetools

Fits composable architectures in which services and storefront are disconnected.

Commercetools →

Headless commerce

Allow frontend, commerce and search to work together through clear API and event contracts.

Headless →

Custom commerce

Build around your own product data model, storefront and integration boundaries.

Customization →
Integration consists of more than one connector

Five parts have to be right together.

1

Product data

Which products, variants, attributes, identifiers, stock and price fields go to the index?

Ta
2

Updates & Freshness

Explain how quickly catalog changes, stock and other mutations should be visible.

Index freshness →
3

Storefront

Search field, autocomplete, results, filters and mobile UX must fit into the existing frontend.

Search UX →
4

Events & analytics

Query, click and other events must maintain sufficient context for reliable analysis.

Analytics →
5

Conversion

Only link orders in a way that keeps attribution and store context verifiable.

Conversion →
API-First where needed

Make integration boundaries explicit before you build.

Capture who owns product data, index updates, frontend rendering, events, conversion tracking and error handling. This prevents a connector from becoming an opaque custom layer later on.

PartQuestionFloor
CatalogueWho supplies which fields?Product data
FrontendWhere is search rendered?Search UX
EventsWhat context is sent along?Developers
Go-liveHow do we test and migrate?Implementation

Discuss your current commerce and data stack.

Bring platform, storefront, catalog source, update frequency, tracking and any migration of existing search.

Schedule a technical demo